Leslie G. Willis

1000 total citations
23 papers, 794 citations indexed

About

Leslie G. Willis is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Leslie G. Willis has authored 23 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Insect Science and 6 papers in Genetics. Recurrent topics in Leslie G. Willis's work include Viral Infectious Diseases and Gene Expression in Insects (18 papers), Insect Resistance and Genetics (17 papers) and Entomopathogenic Microorganisms in Pest Control (11 papers). Leslie G. Willis is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (18 papers), Insect Resistance and Genetics (17 papers) and Entomopathogenic Microorganisms in Pest Control (11 papers). Leslie G. Willis collaborates with scholars based in Canada, United States and France. Leslie G. Willis's co-authors include David A. Theilmann, Martin A. Erlandson, Lu-Lin Li, Qianjun Li, Cam Donly, M. L. Winston, Keith N. Slessor, Barry M. Honda, Mark L. Winston and Thor J. Borgford and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Virology.

In The Last Decade

Leslie G. Willis

23 papers receiving 779 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leslie G. Willis Canada 16 638 498 191 130 68 23 794
Kei Majima United States 9 937 1.5× 459 0.9× 145 0.8× 9 0.1× 52 0.8× 10 989
Esther J. Belikoff United States 14 385 0.6× 302 0.6× 92 0.5× 31 0.2× 7 0.1× 23 548
Konstantin S. Vinokurov Russia 13 484 0.8× 422 0.8× 70 0.4× 26 0.2× 74 1.1× 22 679
H. A. Ranganath India 13 320 0.5× 212 0.4× 315 1.6× 111 0.9× 8 0.1× 58 615
Robert A. Bouchard United States 13 501 0.8× 89 0.2× 66 0.3× 27 0.2× 71 1.0× 21 630
Toshihiro Nagamine Japan 13 275 0.4× 271 0.5× 118 0.6× 26 0.2× 17 0.3× 32 474
Sandra L. Brandt United States 14 242 0.4× 303 0.6× 101 0.5× 51 0.4× 8 0.1× 20 435
Rinkei Ko Japan 8 315 0.5× 171 0.3× 104 0.5× 7 0.1× 90 1.3× 9 517
Bruce A. Philip New Zealand 12 237 0.4× 204 0.4× 77 0.4× 64 0.5× 35 0.5× 30 398
Brianna L. Sollod United States 6 404 0.6× 232 0.5× 348 1.8× 16 0.1× 16 0.2× 7 560

Countries citing papers authored by Leslie G. Willis

Since Specialization
Citations

This map shows the geographic impact of Leslie G. Willis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leslie G. Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie G. Willis more than expected).

Fields of papers citing papers by Leslie G. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie G. Willis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leslie G. Willis. The network helps show where Leslie G. Willis may publish in the future.

Co-authorship network of co-authors of Leslie G. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie G. Willis. A scholar is included among the top collaborators of Leslie G. Willis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslie G. Willis. Leslie G. Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Biswas, Siddhartha, Leslie G. Willis, Minggang Fang, Yingchao Nie, & David A. Theilmann. (2017). Autographa californica Nucleopolyhedrovirus AC141 (Exon0), a Potential E3 Ubiquitin Ligase, Interacts with Viral Ubiquitin and AC66 To Facilitate Nucleocapsid Egress. Journal of Virology. 92(3). 15 indexed citations
2.
Javed, Muhammad Afzal, Leslie G. Willis, David A. Theilmann, et al.. (2016). Microscopic investigation of AcMNPV infection in the Trichoplusia ni midgut. Journal of Invertebrate Pathology. 141. 24–33. 5 indexed citations
3.
Nie, Yingchao, Leslie G. Willis, Junya Yamagishi, et al.. (2014). Defining the roles of the baculovirus regulatory proteins IE0 and IE1 in genome replication and early gene transactivation. Virology. 468-470. 160–171. 7 indexed citations
4.
Willis, Leslie G., et al.. (2012). Deletion of AcMNPV ac146 eliminates the production of budded virus. Virology. 431(1-2). 29–39. 14 indexed citations
5.
Willis, Leslie G., Miria Elias, Martin A. Erlandson, et al.. (2006). Analysis of the temporal expression of Trichoplusia ni single nucleopolyhedrovirus genes following transfection of BT1-Tn-5B1-4 cells. Virology. 354(1). 154–166. 3 indexed citations
6.
7.
Willis, Leslie G., et al.. (2005). Tight transcriptional regulation of foreign genes in insect cells using an ecdysone receptor-based inducible system. Protein Expression and Purification. 42(2). 236–245. 7 indexed citations
8.
9.
Li, Lu-Lin, et al.. (2004). Role of AcMNPV IE0 in baculovirus very late gene activation. Virology. 323(1). 120–130. 19 indexed citations
10.
Willis, Leslie G., et al.. (2004). The acidic activation domains of the baculovirus transactivators IE1 and IE0 are functional for transcriptional activation in both insect and mammalian cells. Journal of General Virology. 85(3). 573–582. 19 indexed citations
11.
Milks, Maynard L., Jan O. Washburn, Leslie G. Willis, Loy E. Volkman, & David A. Theilmann. (2003). Deletion of pe38 attenuates AcMNPV genome replication, budded virus production, and virulence in heliothis virescens. Virology. 310(2). 224–234. 37 indexed citations
12.
Li, Qianjun, Cam Donly, Lu-Lin Li, et al.. (2002). Sequence and Organization of the Mamestra configurata Nucleopolyhedrovirus Genome. Virology. 294(1). 106–121. 97 indexed citations
13.
Li, Lu-Lin, Cam Donly, Qianjun Li, et al.. (2002). Identification and Genomic Analysis of a Second Species of Nucleopolyhedrovirus Isolated from Mamestra configurata. Virology. 297(2). 226–244. 85 indexed citations
14.
Theilmann, David A., Leslie G. Willis, Berend‐Jan Bosch, Ian J. Forsythe, & Qianjun Li. (2001). The Baculovirus Transcriptional Transactivator ie0 Produces Multiple Products by Internal Initiation of Translation. Virology. 290(2). 211–223. 23 indexed citations
15.
16.
Forsythe, Ian J., et al.. (1998). Characterization of the Acidic Domain of the IE1 Regulatory Protein fromOrgyia pseudotsugataMulticapsid Nucleopolyhedrovirus. Virology. 252(1). 65–81. 18 indexed citations
17.
Sidhu, Sachdev S., Gabriel B. Kalmar, Leslie G. Willis, & Thor J. Borgford. (1995). Protease Evolution in Streptomyces griseus. Journal of Biological Chemistry. 270(13). 7594–7600. 18 indexed citations
18.
Sidhu, Sachdev S., Gabriel B. Kalmar, Leslie G. Willis, & Thor J. Borgford. (1994). Streptomyces griseus protease C. A novel enzyme of the chymotrypsin superfamily.. Journal of Biological Chemistry. 269(31). 20167–20171. 28 indexed citations
19.
Willis, Leslie G., Mark L. Winston, & Barry M. Honda. (1992). Phylogenetic relationships in the honeybee (Genus Apis) as determined by the sequence of the cytochrome oxidase II region of mitochondrial DNA. Molecular Phylogenetics and Evolution. 1(3). 169–178. 48 indexed citations
20.
Willis, Leslie G., M. L. Winston, & Keith N. Slessor. (1990). QUEEN HONEY BEE MANDIBULAR PHEROMONE DOES NOT AFFECT WORKER OVARY DEVELOPMENT. The Canadian Entomologist. 122(6). 1093–1099. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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